Search Results for author: Liyi Dai

Found 9 papers, 2 papers with code

Stability and Convergence of Stochastic Particle Flow Filters

no code implementations11 Aug 2021 Liyi Dai, Fred Daum

In this paper, we examine dynamic properties of particle flows for a recently derived parameterized family of stochastic particle flow filters for nonlinear filtering and Bayesian inference.

Bayesian Inference

A New Parameterized Family of Stochastic Particle Flow Filters

no code implementations17 Mar 2021 Liyi Dai, Fred Daum

We prove that the particle flows are unbiased under the assumption of linear measurement and Gaussian distributions, and that estimates constructed from the stochastic flows are consistent.

Bayesian Inference

Community Detection and Improved Detectability in Multiplex Networks

no code implementations23 Sep 2019 Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai

We further demonstrate by numerical experiments that in the presence of consistent communities between different layers, consistent communities are matched, and the detectability is improved over a single layer.

Community Detection Stochastic Block Model

Analysis Dictionary Learning: An Efficient and Discriminative Solution

no code implementations7 Mar 2019 Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

Discriminative Dictionary Learning (DL) methods have been widely advocated for image classification problems.

Dictionary Learning General Classification +1

Cross-Modality Distillation: A case for Conditional Generative Adversarial Networks

no code implementations20 Jul 2018 Siddharth Roheda, Benjamin S. Riggan, Hamid Krim, Liyi Dai

In this paper, we propose to use a Conditional Generative Adversarial Network (CGAN) for distilling (i. e. transferring) knowledge from sensor data and enhancing low-resolution target detection.

Analysis Dictionary Learning based Classification: Structure for Robustness

1 code implementation13 Jul 2018 Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

A consensus structured analysis dictionary and a global classifier are jointly learned in the distributed approach to safeguard the discriminative power and the efficiency of classification.

Classification Dictionary Learning +1

Structured Analysis Dictionary Learning for Image Classification

1 code implementation2 May 2018 Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

We propose a computationally efficient and high-performance classification algorithm by incorporating class structural information in analysis dictionary learning.

Classification Dictionary Learning +2

Demystifying Deep Learning: A Geometric Approach to Iterative Projections

no code implementations22 Mar 2018 Ashkan Panahi, Hamid Krim, Liyi Dai

Parametric approaches to Learning, such as deep learning (DL), are highly popular in nonlinear regression, in spite of their extremely difficult training with their increasing complexity (e. g. number of layers in DL).

Deep Dictionary Learning: A PARametric NETwork Approach

no code implementations11 Mar 2018 Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai

Deep dictionary learning seeks multiple dictionaries at different image scales to capture complementary coherent characteristics.

Classification Dictionary Learning +2

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